Michael J. Follows

The paper uses proteomic data to show that microbial growth rates are constrained by size-related factors, with intermediate-sized cells having the highest growth potential.

The paper analyzes Species Abundance Distributions (SADs) in marine plankton communities from surveys and simulations, finding invariant scaling despite environmental and taxonomic variation.

This paper calibrates metabarcoding data using flow cytometry to estimate absolute microbial abundances and gene concentrations in oceanic samples.

The paper examines how nutrient response strategies of two rare phytoplankton taxa contribute to their increasing prevalence in Cape Cod Bay over 20 years.

The paper assesses four mechanisms of phytoplankton-bacteria interactions using models and experiments, finding two distinct modes of interaction and highlighting the need for additional mechanisms like allelopathy.

The paper estimates phytoplankton elemental composition and shows how cellular-level changes affect global ocean oxygen consumption and hypoxic zone expansion.

The paper examines how intraspecific diversity in thermal response shapes phytoplankton ecological niches by growing 12 strains of Gephyrocapsa huxleyi under different temperatures and modeling their biogeography.

The paper estimates microbial reaction rates using proteomic data, finding that global proteomes can predict reaction rates with high accuracy without needing detailed mechanistic knowledge.

The paper introduces a metatranscriptome assembly pipeline and validates it using simulated data, then applies it to real datasets to improve taxonomic and functional discovery.